Capriccio is a sentiment classification dataset on tweets that simulates data drift.
It is created by slicing the Sentiment140 dataset (homepage, Huggingface datasets) with a sliding window of 500,000 tweets, resulting in 38 slices.
Thus, each slice can be used to represent the training/validation dataset of a sentiment classification model that is re-trained every day.
Each slice has 425,000 tweets for training (file named %d_train.json
) and 75,000 tweets for validation (file named %d_val.json
).
The name comes from the adjective capricious.
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